Real-Time Image Processing

For thousands of years engineers have dreamed of building machines with vision capabilities that match their own. However most image processing algorithms are computationally intensive making real-time implementation di cult, expensive and not usually possible with microprocessor based hardware. In this project a computationally intensive image-processing algorithm is implemented, analysed, and optimized for an ARM Cortex-A9 microprocessor. The highly optimized code is then further accelerated by using state-of-the-art Xilinx devices which package an ARM Cortex-A9 and reconfigurable logic on the same chip, to o oad the most computationally intense functions into reconfigurable logic, improving performance and power usage without drastically increasing development time.